HoT-SSM combines hypergraph construction from domain knowledge with a dynamic state space model to jointly capture higher-order clinical interactions and long-range temporal dependencies, yielding improved predictions on MIMIC-III and MIMIC-IV.
Optimizing mortality prediction for icu heart failure patients: Leveraging xgboost and advanced machine learning with the mimic-iii database.arXiv preprint arXiv:2409.01685,
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HoT-SSM:Higher-order Temporal Knowledge Graph Reasoning with State Space Models for Health Care
HoT-SSM combines hypergraph construction from domain knowledge with a dynamic state space model to jointly capture higher-order clinical interactions and long-range temporal dependencies, yielding improved predictions on MIMIC-III and MIMIC-IV.